Associate Data Analytics - Business Intelligence

Data and Analytics (DnA) is a dynamic team of over 400 experts, including data scientists, engineers, decision scientists, and analysts, dedicated to empowering every decision-maker at Salesforce with timely, trusted data, and actionable insights. Our diverse global team collaborates with executives, product managers, designers, developers, user researchers, marketers, and sales strategists across all our Cloud businesses. We focus on discovering growth opportunities, optimizing processes, and driving data-informed product, customer, sales, and enterprise strategies. By creating data-driven product experiences and actionable insights, we enable our stakeholders to maximize product adoption and revenue. 

Role Description:

The Associate Data Analytics - Business Intelligence position will be responsible for delivering insights, conducting adoption tests, and working with senior BI engineers and a cross-functional team to productize these insights.  This person will play the role of a data analyst working with the strategy and growth analysts, data science and data engineers to provide insights to help support product and business growth. They will help design, develop & maintain visual display of all the mission critical data sets generated by the DnA team for statistical and machine learning computational requirements. This person will also play the role of “Data Artist”, making an impact by storytelling with data in summarizing, profiling, sampling, visualizing and analyzing terabytes of data. So if you are passionate about data and its analysis using Visualizations then you will love working in this team.

The BI Engineer will work closely with various functional groups on projects involving data discovery, assessing data samples, massaging and preparing data for hypothesis testing and machine learning algorithms. 

This role has the overall responsibility for establishing and evangelizing BI and data visualization services in support of analysts and data scientists with Data and Analytics org. The BI Engineer plays a critical role in enabling the ability to bring order and insight to the data. This role reports directly to the Senior Director of Enterprise Analytics. 

Responsibilities:

Design, build and maintain dashboards and interactive reports in Tableau Cloud, Tableau Next and Salesforce Einstein Analytics.

Partner with enterprise analysts, engineering and other stakeholders to understand business use case needs for insights & analytics.

Help architect, develop, validate and communicate BI solutions such as reports, dashboards, KPIs and alerts.

Document standards and procedures for best practices for visual intelligence design & development.

Able to identify data gaps, improve quality of data and integrate data from several data sources to perform in-depth analysis for product insights.

Translate numbers, trends and data to consumable insights - both explanatory and exploratory.

Job Requirements:

Must be within less than 1-year of having completed a Master's Degree

1-2 years of Data Visualization experience using Tableau and similar tools.

2 years of experience using Big data technologies like Hadoop, Pig, Hive, HBase, Spark.

Expert knowledge of Oracle SQL and Nosql tools for data analysis, report development and performance tuning.

Ability to quickly learn and gain a deep understanding of SFDC business processes.

Ability to perform thorough analysis of complex data, draw sound conclusions, and devise actionable strategies.

Expert in the visual representation of complex information for driving business impact.

Subject Matter Expert and Evangelist on enterprise data, visualization, data analysis, data modeling, SQL constructs and workload management.

Creative mind, strong passion for User Experience.

Translate concepts into user flows, wireframes, mockups and prototypes that lead to intuitive user experiences.

Detail oriented with proven analytical, problem identification and resolution skills.

Ability to work effectively in an unstructured and fast-paced environment, and have a high degree of self-management with clear communication and commitment to delivery timelines.

Proven interpersonal, communication and presentation skills – must be able to explain technical concepts and analysis implications clearly to a wide audience.

Experience in the use of open source software.